Virtual evaluation tools for augmented reality exercise experiences

ABSTRACT

Example systems, devices, media, and methods are described for evaluating movements and physical exercises in augmented reality using the display of an eyewear device. A motion evaluation application implements and controls the capturing of frames of motion data using an inertial measurement unit (IMU) on the eyewear device. The method includes presenting virtual targets on the display, localizing the current eyewear device location based on the captured motion data, and presenting virtual indicators on the display. The virtual targets represent goals or benchmarks for the user to achieve using body postures. The method includes detecting determining whether the eyewear device location represents an intersecting posture relative to the virtual targets, based on the IMU data. The virtual indicators display real-time feedback about user posture or performance relative to the virtual targets.

TECHNICAL FIELD

Examples set forth in the present disclosure relate to the field ofaugmented reality experiences for electronic devices, including wearabledevices such as eyewear. More particularly, but not by way oflimitation, the present disclosure describes the presentation of virtualevaluation tools for analyzing movement and physical exercises inaugmented reality.

BACKGROUND

Many types of computers and electronic devices available today, such asmobile devices (e.g., smartphones, tablets, and laptops), handhelddevices, and wearable devices (e.g., smart glasses, digital eyewear,headwear, headgear, and head-mounted displays), include a variety ofcameras, sensors, wireless transceivers, input systems, and displays.

Virtual reality (VR) technology generates a complete virtual environmentincluding realistic images, sometimes presented on a VR headset or otherhead-mounted display. VR experiences allow a user to move through thevirtual environment and interact with virtual objects. Augmented reality(AR) is a type of VR technology that combines real objects in a physicalenvironment with virtual objects and displays the combination to a user.The combined display gives the impression that the virtual objects areauthentically present in the environment, especially when the virtualobjects appear and behave like the real objects. Cross reality (XR) isgenerally understood as an umbrella term referring to systems thatinclude or combine elements from AR, VR, and MR (mixed reality)environments.

Graphical user interfaces allow the user to interact with displayedcontent, including virtual objects and graphical elements such as icons,taskbars, list boxes, menus, buttons, and selection control elementslike cursors, pointers, handles, and sliders.

Automatic speech recognition (ASR) is a field of computer science,artificial intelligence, and linguistics which involves receiving spokenwords and converting the spoken words into audio data suitable forprocessing by a computing device. Processed frames of audio data can beused to translate the received spoken words into text or to convert thespoken words into commands for controlling and interacting with varioussoftware applications. ASR processing may be used by computers, handhelddevices, wearable devices, telephone systems, automobiles, and a widevariety of other devices to facilitate human-computer interactions.

BRIEF DESCRIPTION OF THE DRAWINGS

Features of the various examples described will be readily understoodfrom the following detailed description, in which reference is made tothe figures. A reference numeral is used with each element in thedescription and throughout the several views of the drawing. When aplurality of similar elements is present, a single reference numeral maybe assigned to like elements, with an added lower-case letter referringto a specific element.

The various elements shown in the figures are not drawn to scale unlessotherwise indicated. The dimensions of the various elements may beenlarged or reduced in the interest of clarity. The several figuresdepict one or more implementations and are presented by way of exampleonly and should not be construed as limiting. Included in the drawingare the following figures:

FIG. 1A is a side view (right) of an example hardware configuration ofan eyewear device suitable for use in an example virtual guided fitnesssystem;

FIG. 1B is a perspective, partly sectional view of a right corner of theeyewear device of FIG. 1A depicting a right visible-light camera, and acircuit board;

FIG. 1C is a side view (left) of an example hardware configuration ofthe eyewear device of FIG. 1A, which shows a left visible-light camera;

FIG. 1D is a perspective, partly sectional view of a left corner of theeyewear device of FIG. 1C depicting the left visible-light camera, and acircuit board;

FIGS. 2A and 2B are rear views of example hardware configurations of aneyewear device utilized in an example virtual guided fitness system;

FIG. 3 is a diagrammatic depiction of a three-dimensional scene, a leftraw image captured by a left visible-light camera, and a right raw imagecaptured by a right visible-light camera;

FIG. 4 is a functional block diagram of an example motion evaluationsystem including an eyewear device and a server system connected viavarious networks;

FIG. 5 is a diagrammatic representation of an example hardwareconfiguration for a mobile device suitable for use in the example motionevaluation system of FIG. 4 ;

FIG. 6 is a schematic illustration of a user in an example environmentfor use in describing simultaneous localization and mapping;

FIG. 7A is a perspective illustration of an example exercise experiencewith virtual targets arranged on a calibrated scale, as presented on adisplay;

FIG. 7B is a perspective illustration of an example exercise experiencewith a virtual target and a responsive animation presented on a display;

FIG. 7C is a perspective illustration of an example exercise experiencewith virtual moving targets presented on a display;

FIG. 7D is a perspective illustration of an example exercise experiencewith a virtual target and session information presented on a display;

FIG. 8 is a flow chart listing the steps in an example method ofpresenting an exercise experience on a display.

DETAILED DESCRIPTION

Various implementations and details are described with reference toexamples for presenting an exercise experience with virtual targets inaugmented reality. For example, the method includes presenting virtualtargets on the display, localizing the current eyewear device locationbased on the frames of motion data captured by an IMU, and presentingvirtual indicators on the display. The virtual targets represent goalsor benchmarks for the user to achieve using body postures. The methodincludes detecting determining whether the eyewear device locationrepresents an intersecting posture relative to the virtual targets,based on the IMU data. The virtual indicators display real-time feedbackabout user posture or performance relative to the virtual targets.

An example implementation includes a virtual target comprising agraduated scale and a virtual indicator comprising a slider that movesalong the scale according to the current eyewear device location, basedon the IMU data.

Another example implementation includes a virtual target comprising apunching bag and a virtual indicator comprising animated boxing glovesdisplayed according to hand location. The hand detection relies on imagedata captured by at least one camera. The motion evaluation applicationdetects when the hand location intersects the virtual punching bag,based on either the IMU data or the image data, or both.

Another example implementation includes a virtual target comprising oneor more orbs in apparent motion toward a scoring plane in either a leftlane or a right lane. The virtual indicator comprises a visible changein the orb when the application detects an intersection between theeyewear device location, moving side to side, and one of the orbs, basedon the IMU data.

Although the various systems and methods are described herein withreference to fitness, exercises, and exercise equipment, the technologydescribed may be applied to detecting any type of motion or activityoccurring in a physical environment, capturing data about the detectedactivity, and presenting scores or other evaluation metrics, compared tobenchmarks, on a display.

The following detailed description includes systems, methods,techniques, instruction sequences, and computing machine programproducts illustrative of examples set forth in the disclosure. Numerousdetails and examples are included for the purpose of providing athorough understanding of the disclosed subject matter and its relevantteachings. Those skilled in the relevant art, however, may understandhow to apply the relevant teachings without such details. Aspects of thedisclosed subject matter are not limited to the specific devices,systems, and method described because the relevant teachings can beapplied or practice in a variety of ways. The terminology andnomenclature used herein is for the purpose of describing particularaspects only and is not intended to be limiting. In general, well-knowninstruction instances, protocols, structures, and techniques are notnecessarily shown in detail.

The terms “coupled” or “connected” as used herein refer to any logical,optical, physical, or electrical connection, including a link or thelike by which the electrical or magnetic signals produced or supplied byone system element are imparted to another coupled or connected systemelement. Unless described otherwise, coupled or connected elements ordevices are not necessarily directly connected to one another and may beseparated by intermediate components, elements, or communication media,one or more of which may modify, manipulate, or carry the electricalsignals. The term “on” means directly supported by an element orindirectly supported by the element through another element that isintegrated into or supported by the element.

The term “proximal” is used to describe an item or part of an item thatis situated near, adjacent, or next to an object or person; or that iscloser relative to other parts of the item, which may be described as“distal.” For example, the end of an item nearest an object may bereferred to as the proximal end, whereas the generally opposing end maybe referred to as the distal end.

The orientations of the eyewear device, other mobile devices, coupledcomponents, and any other devices such as those shown in any of thedrawings, are given by way of example only, for illustration anddiscussion purposes. In operation, the eyewear device may be oriented inany other direction suitable to the particular application of theeyewear device; for example, up, down, sideways, or any otherorientation. Also, to the extent used herein, any directional term, suchas front, rear, inward, outward, toward, left, right, lateral,longitudinal, up, down, upper, lower, top, bottom, side, horizontal,vertical, and diagonal are used by way of example only, and are notlimiting as to the direction or orientation of any camera, inertialmeasurement unit, or display as constructed or as otherwise describedherein.

Advanced AR technologies, such as computer vision and object tracking,may be used to produce a perceptually enriched and immersive experience.Computer vision algorithms extract three-dimensional data about thephysical world from the data captured in digital images or video. Objectrecognition and tracking algorithms are used to detect an object in adigital image or video, estimate its orientation or pose, and track itsmovement over time. Hand and finger recognition and tracking in realtime is one of the most challenging and processing-intensive tasks inthe field of computer vision.

The term “pose” refers to the static position and orientation of anobject at a particular instant in time. The term “gesture” refers to theactive movement of an object, such as a hand, through a series of poses,sometimes to convey a signal or idea. The terms, pose and gesture, aresometimes used interchangeably in the field of computer vision andaugmented reality. As used herein, the terms “pose” or “gesture” (orvariations thereof) are intended to be inclusive of both poses andgestures; in other words, the use of one term does not exclude theother.

Additional objects, advantages and novel features of the examples willbe set forth in part in the following description, and in part willbecome apparent to those skilled in the art upon examination of thefollowing and the accompanying drawings or may be learned by productionor operation of the examples. The objects and advantages of the presentsubject matter may be realized and attained by means of themethodologies, instrumentalities and combinations particularly pointedout in the appended claims.

Reference now is made in detail to the examples illustrated in theaccompanying drawings and discussed below.

FIG. 1A is a side view (right) of an example hardware configuration ofan eyewear device 100 which includes a touch-sensitive input device suchas a touchpad 181. As shown, the touchpad 181 may have a boundary thatis plainly visible or include a raised or otherwise tactile edge thatprovides feedback to the user about the location and boundary of thetouchpad 181; alternatively, the boundary may be subtle and not easilyseen or felt. In other implementations, the eyewear device 100 mayinclude a touchpad 181 on the left side that operates independently orin conjunction with a touchpad 181 on the right side.

The surface of the touchpad 181 is configured to detect finger touches,taps, and gestures (e.g., moving touches) for use with a GUI displayedby the eyewear device, on an image display, to allow the user tonavigate through and select menu options in an intuitive manner, whichenhances and simplifies the user experience.

Detection of finger inputs on the touchpad 181 can enable severalfunctions. For example, touching anywhere on the touchpad 181 may causethe GUI to display or highlight an item on the image display, which maybe projected onto at least one of the optical assemblies 180A, 180B.Tapping or double tapping on the touchpad 181 may select an item oricon. Sliding or swiping a finger in a particular direction (e.g., fromfront to back, back to front, up to down, or down to) may cause theitems or icons to slide or scroll in a particular direction; forexample, to move to a next item, icon, video, image, page, or slide.Sliding the finger in another direction may slide or scroll in theopposite direction; for example, to move to a previous item, icon,video, image, page, or slide. The touchpad 181 can be virtually anywhereon the eyewear device 100.

In one example, an identified finger gesture of a single tap on thetouchpad 181, initiates selection or pressing of a graphical userinterface element in the image presented on the image display of theoptical assembly 180A, 180B. An adjustment to the image presented on theimage display of the optical assembly 180A, 180B based on the identifiedfinger gesture can be a primary action which selects or submits thegraphical user interface element on the image display of the opticalassembly 180A, 180B for further display or execution.

As shown, the eyewear device 100 includes a right visible-light camera114B. As further described herein, two cameras 114A, 114B capture imageinformation for a scene from two separate viewpoints. The two capturedimages may be used to project a three-dimensional display onto an imagedisplay for viewing with 3D glasses.

The eyewear device 100 includes a right optical assembly 180B with animage display to present images, such as depth images. As shown in FIGS.1A and 1B, the eyewear device 100 includes the right visible-lightcamera 114B. The eyewear device 100 can include multiple visible-lightcameras 114A, 114B that form a passive type of three-dimensional camera,such as stereo camera, of which the right visible-light camera 114B islocated on a right corner 110B. As shown in FIGS. 1C-D, the eyeweardevice 100 also includes a left visible-light camera 114A.

Left and right visible-light cameras 114A, 114B are sensitive to thevisible-light range wavelength. Each of the visible-light cameras 114A,114B have a different frontward facing field of view which areoverlapping to enable generation of three-dimensional depth images, forexample, right visible-light camera 114B depicts a right field of view111B. Generally, a “field of view” is the part of the scene that isvisible through the camera at a particular position and orientation inspace. The fields of view 111A and 111B have an overlapping field ofview 304 (FIG. 3 ). Objects or object features outside the field of view111A, 111B when the visible-light camera captures the image are notrecorded in a raw image (e.g., photograph or picture). The field of viewdescribes an angle range or extent, which the image sensor of thevisible-light camera 114A, 114B picks up electromagnetic radiation of agiven scene in a captured image of the given scene. Field of view can beexpressed as the angular size of the view cone; i.e., an angle of view.The angle of view can be measured horizontally, vertically, ordiagonally.

In an example configuration, one or both visible-light cameras 114A,114B has a field of view of 100° and a resolution of 480 × 480 pixels.The “angle of coverage” describes the angle range that a lens ofvisible-light cameras 114A, 114B or infrared camera 410 (see FIG. 2A)can effectively image. Typically, the camera lens produces an imagecircle that is large enough to cover the film or sensor of the cameracompletely, possibly including some vignetting (e.g., a darkening of theimage toward the edges when compared to the center). If the angle ofcoverage of the camera lens does not fill the sensor, the image circlewill be visible, typically with strong vignetting toward the edge, andthe effective angle of view will be limited to the angle of coverage.

Examples of such visible-light cameras 114A, 114B include ahigh-resolution complementary metal-oxide-semiconductor (CMOS) imagesensor and a digital VGA camera (video graphics array) capable ofresolutions of 480p (e.g., 640 × 480 pixels), 720p, 1080p, or greater.Other examples include visible-light cameras 114A, 114B that can capturehigh-definition (HD) video at a high frame rate (e.g., thirty to sixtyframes per second, or more) and store the recording at a resolution of1216 by 1216 pixels (or greater).

The eyewear device 100 may capture image sensor data from thevisible-light cameras 114A, 114B along with geolocation data, digitizedby an image processor, for storage in a memory. The visible-lightcameras 114A, 114B capture respective left and right raw images in thetwo-dimensional space domain that comprise a matrix of pixels on atwo-dimensional coordinate system that includes an X-axis for horizontalposition and a Y-axis for vertical position. Each pixel includes a colorattribute value (e.g., a red pixel light value, a green pixel lightvalue, or a blue pixel light value); and a position attribute (e.g., anX-axis coordinate and a Y-axis coordinate).

In order to capture stereo images for later display as athree-dimensional projection, the image processor 412 (shown in FIG. 4 )may be coupled to the visible-light cameras 114A, 114B to receive andstore the visual image information. The image processor 412, or anotherprocessor, controls operation of the visible-light cameras 114A, 114B toact as a stereo camera simulating human binocular vision and may add atimestamp to each image. The timestamp on each pair of images allowsdisplay of the images together as part of a three-dimensionalprojection. Three-dimensional projections produce an immersive,life-like experience that is desirable in a variety of contexts,including virtual reality (VR) and video gaming.

FIG. 1B is a perspective, cross-sectional view of a right corner 110B ofthe eyewear device 100 of FIG. 1A depicting the right visible-lightcamera 114B of the camera system, and a circuit board. FIG. 1C is a sideview (left) of an example hardware configuration of an eyewear device100 of FIG. 1A, which shows a left visible-light camera 114A of thecamera system. FIG. 1D is a perspective, cross-sectional view of a leftcorner 110A of the eyewear device of FIG. 1C depicting the leftvisible-light camera 114A of the three-dimensional camera, and a circuitboard.

Construction and placement of the left visible-light camera 114A issubstantially similar to the right visible-light camera 114B, except theconnections and coupling are on the left lateral side 170A. As shown inthe example of FIG. 1B, the eyewear device 100 includes the rightvisible-light camera 114B and a circuit board 140B, which may be aflexible printed circuit board (PCB). A right hinge 126B connects theright corner 110B to a right temple 125B of the eyewear device 100. Insome examples, components of the right visible-light camera 114B, theflexible PCB 140B, or other electrical connectors or contacts may belocated on the right temple 125B or the right hinge 126B. A left hinge126B connects the left corner 110A to a left temple 125A of the eyeweardevice 100. In some examples, components of the left visible-lightcamera 114A, the flexible PCB 140A, or other electrical connectors orcontacts may be located on the left temple 125A or the left hinge 126A.

The right corner 110B includes corner body 190 and a corner cap, withthe corner cap omitted in the cross-section of FIG. 1B. Disposed insidethe right corner 110B are various interconnected circuit boards, such asPCBs or flexible PCBs, that include controller circuits for rightvisible-light camera 114B, microphone(s) 139, loudspeaker(s) 191,low-power wireless circuitry (e.g., for wireless short range networkcommunication via Bluetooth™), high-speed wireless circuitry (e.g., forwireless local area network communication via Wi-Fi).

The right visible-light camera 114B is coupled to or disposed on theflexible PCB 140B and covered by a visible-light camera cover lens,which is aimed through opening(s) formed in the frame 105. For example,the right rim 107B of the frame 105, shown in FIG. 2A, is connected tothe right corner 110B and includes the opening(s) for the visible-lightcamera cover lens. The frame 105 includes a front side configured toface outward and away from the eye of the user. The opening for thevisible-light camera cover lens is formed on and through the front oroutward-facing side of the frame 105. In the example, the rightvisible-light camera 114B has an outward-facing field of view 111B(shown in FIG. 3 ) with a line of sight or perspective that iscorrelated with the right eye of the user of the eyewear device 100. Thevisible-light camera cover lens can also be adhered to a front side oroutward-facing surface of the right corner 110B in which an opening isformed with an outward-facing angle of coverage, but in a differentoutwardly direction. The coupling can also be indirect via interveningcomponents.

As shown in FIG. 1B, flexible PCB 140B is disposed inside the rightcorner 110B and is coupled to one or more other components housed in theright corner 110B. Although shown as being formed on the circuit boardsof the right corner 110B, the right visible-light camera 114B can beformed on the circuit boards of the left corner 110A, the temples 125A,125B, or the frame 105.

FIGS. 2A and 2B are perspective views, from the rear, of examplehardware configurations of the eyewear device 100, including twodifferent types of image displays. The eyewear device 100 is sized andshaped in a form configured for wearing by a user; the form ofeyeglasses is shown in the example. The eyewear device 100 can takeother forms and may incorporate other types of frameworks; for example,a headgear, a headset, or a helmet.

In the eyeglasses example, eyewear device 100 includes a frame 105including a left rim 107A connected to a right rim 107B via a bridge 106adapted to be supported by a nose of the user. The left and right rims107A, 107B include respective apertures 175A, 175B, which hold arespective optical element 180A, 180B, such as a lens and a displaydevice. As used herein, the term “lens” is meant to include transparentor translucent pieces of glass or plastic having curved or flat surfacesthat cause light to converge or diverge or that cause little or noconvergence or divergence.

FIG. 2A is an example hardware configuration for the eyewear device 100in which the right corner 110B supports a microphone 139 and aloudspeaker 191. The microphone 139 includes a transducer that convertssound into a corresponding electrical audio signal. The microphone 139in this example, as shown, is positioned with an opening that facesinward toward the wearer, to facilitate reception of the sound waves,such as human speech including verbal commands and questions. Additionalor differently oriented openings may be implemented. In other exampleconfigurations, the eyewear device 100 is coupled to one or moremicrophones 139, configured to operate together or independently, andpositioned at various locations on the eyewear device 100.

The loudspeaker 191 includes an electro-acoustic transducer thatconverts an electrical audio signal into a corresponding sound. Theloudspeaker 191 is controlled by one of the processors 422, 432 or by anaudio processor 413 (FIG. 4 ). The loudspeaker 191 in this exampleincludes a series of oblong apertures, as shown, that face inward todirect the sound toward the wearer. Additional or differently orientedapertures may be implemented. In other example configurations, theeyewear device 100 is coupled to one or more loudspeakers 191,configured to operate together (e.g., in stereo, in zones to generatesurround sound) or independently, and positioned at various locations onthe eyewear device 100. For example, one or more loudspeakers 191 may beincorporated into the frame 105, temples 125, or corners 110A, 110B ofthe eyewear device 100.

Although shown in FIG. 2A and FIG. 2B as having two optical elements180A, 180B, the eyewear device 100 can include other arrangements, suchas a single optical element (or it may not include any optical element180A, 180B), depending on the application or the intended user of theeyewear device 100. As further shown, eyewear device 100 includes a leftcorner 110A adjacent the left lateral side 170A of the frame 105 and aright corner 110B adjacent the right lateral side 170B of the frame 105.The corners 110A, 110B may be integrated into the frame 105 on therespective sides 170A, 170B (as illustrated) or implemented as separatecomponents attached to the frame 105 on the respective sides 170A, 170B.Alternatively, the corners 110A, 110B may be integrated into temples(not shown) attached to the frame 105.

In one example, the image display of optical assembly 180A, 180Bincludes an integrated image display. As shown in FIG. 2A, each opticalassembly 180A, 180B includes a suitable display matrix 177, such as aliquid crystal display (LCD), an organic light-emitting diode (OLED)display, or any other such display. Each optical assembly 180A, 180Balso includes an optical layer or layers 176, which can include lenses,optical coatings, prisms, mirrors, waveguides, optical strips, and otheroptical components in any combination. The optical layers 176A, 176B,... 176N (shown as 176AN in FIG. 2A and herein) can include a prismhaving a suitable size and configuration and including a first surfacefor receiving light from a display matrix and a second surface foremitting light to the eye of the user. The prism of the optical layers176A-N extends over all or at least a portion of the respectiveapertures 175A, 175B formed in the left and right rims 107A, 107B topermit the user to see the second surface of the prism when the eye ofthe user is viewing through the corresponding left and right rims 107A,107B. The first surface of the prism of the optical layers 176A-N facesupwardly from the frame 105 and the display matrix 177 overlies theprism so that photons and light emitted by the display matrix 177impinge the first surface. The prism is sized and shaped so that thelight is refracted within the prism and is directed toward the eye ofthe user by the second surface of the prism of the optical layers176A-N. In this regard, the second surface of the prism of the opticallayers 176A-N can be convex to direct the light toward the center of theeye. The prism can optionally be sized and shaped to magnify the imageprojected by the display matrix 177, and the light travels through theprism so that the image viewed from the second surface is larger in oneor more dimensions than the image emitted from the display matrix 177.

In one example, the optical layers 176A-N may include an LCD layer thatis transparent (keeping the lens open) unless and until a voltage isapplied which makes the layer opaque (closing or blocking the lens). Theimage processor 412 on the eyewear device 100 may execute programming toapply the voltage to the LCD layer in order to produce an active shuttersystem, making the eyewear device 100 suitable for viewing visualcontent when displayed as a three-dimensional projection. Technologiesother than LCD may be used for the active shutter mode, including othertypes of reactive layers that are responsive to a voltage or anothertype of input.

In another example, the image display device of optical assembly 180A,180B includes a projection image display as shown in FIG. 2B. Eachoptical assembly 180A, 180B includes a laser projector 150, which is athree-color laser projector using a scanning mirror or galvanometer.During operation, an optical source such as a laser projector 150 isdisposed in or on one of the temples 125A, 125B of the eyewear device100. Optical assembly 180B in this example includes one or more opticalstrips 155A, 155B, ... 155N (shown as 155A-N in FIG. 2B) which arespaced apart and across the width of the lens of each optical assembly180A, 180B or across a depth of the lens between the front surface andthe rear surface of the lens.

As the photons projected by the laser projector 150 travel across thelens of each optical assembly 180A, 180B, the photons encounter theoptical strips 155A-N. When a particular photon encounters a particularoptical strip, the photon is either redirected toward the user’s eye, orit passes to the next optical strip. A combination of modulation oflaser projector 150, and modulation of optical strips, may controlspecific photons or beams of light. In an example, a processor controlsoptical strips 155A-N by initiating mechanical, acoustic, orelectromagnetic signals. Although shown as having two optical assemblies180A, 180B, the eyewear device 100 can include other arrangements, suchas a single or three optical assemblies, or each optical assembly 180A,180B may have arranged different arrangement depending on theapplication or intended user of the eyewear device 100.

As further shown in FIGS. 2A and 2B, eyewear device 100 includes a leftcorner 110A adjacent the left lateral side 170A of the frame 105 and aright corner 110B adjacent the right lateral side 170B of the frame 105.The corners 110A, 110B may be integrated into the frame 105 on therespective lateral sides 170A, 170B (as illustrated) or implemented asseparate components attached to the frame 105 on the respective sides170A, 170B. Alternatively, the corners 110A, 110B may be integrated intotemples 125A, 125B attached to the frame 105.

In another example, the eyewear device 100 shown in FIG. 2B may includetwo projectors, a left projector 150A (not shown) and a right projector150B (shown as projector 150). The left optical assembly 180A mayinclude a left display matrix 177A (not shown) or a left set of opticalstrips 155′A, 155′B, ... 155′N (155 prime, A through N, not shown) whichare configured to interact with light from the left projector 150A.Similarly, the right optical assembly 180B may include a right displaymatrix 177B (not shown) or a right set of optical strips 155″A, 155″B,... 155″N (155 double prime, A through N, not shown) which areconfigured to interact with light from the right projector 150B. In thisexample, the eyewear device 100 includes a left display and a rightdisplay.

FIG. 3 is a diagrammatic depiction of a three-dimensional scene 306, aleft raw image 302A captured by a left visible-light camera 114A, and aright raw image 302B captured by a right visible-light camera 114B. Theleft field of view 111A may overlap, as shown, with the right field ofview 111B. The overlapping field of view 304 represents that portion ofthe image captured by both cameras 114A, 114B. The term ‘overlapping’when referring to field of view means the matrix of pixels in thegenerated raw images overlap by thirty percent (30%) or more.‘Substantially overlapping’ means the matrix of pixels in the generatedraw images - or in the infrared image of scene - overlap by fiftypercent (50%) or more. As described herein, the two raw images 302A,302B may be processed to include a timestamp, which allows the images tobe displayed together as part of a three-dimensional projection.

For the capture of stereo images, as illustrated in FIG. 3 , a pair ofraw red, green, and blue (RGB) images are captured of a real scene 306at a given moment in time – a left raw image 302A captured by the leftcamera 114A and right raw image 302B captured by the right camera 114B.When the pair of raw images 302A, 302B are processed (e.g., by the imageprocessor 412), depth images are generated. The generated depth imagesmay be viewed on an optical assembly 180A, 180B of an eyewear device, onanother display (e.g., the image display 580 on a mobile device 401), oron a screen.

The generated depth images are in the three-dimensional space domain andcan comprise a matrix of vertices on a three-dimensional locationcoordinate system that includes an X axis for horizontal position (e.g.,length), a Y axis for vertical position (e.g., height), and a Z axis fordepth (e.g., distance). Each vertex may include a color attribute (e.g.,a red pixel light value, a green pixel light value, or a blue pixellight value); a position attribute (e.g., an X location coordinate, a Ylocation coordinate, and a Z location coordinate); a texture attribute;a reflectance attribute; or a combination thereof. The texture attributequantifies the perceived texture of the depth image, such as the spatialarrangement of color or intensities in a region of vertices of the depthimage.

In one example, the motion evaluation system 400 (FIG. 4 ) includes theeyewear device 100, which includes a frame 105 and a left temple 125Aextending from a left lateral side 170A of the frame 105 and a righttemple 125B extending from a right lateral side 170B of the frame 105.The eyewear device 100 may further include at least two visible-lightcameras 114A, 114B having overlapping fields of view. In one example,the eyewear device 100 includes a left visible-light camera 114A with aleft field of view 111A, as illustrated in FIG. 3 . The left camera 114Ais connected to the frame 105 or the left temple 125A to capture a leftraw image 302A from the left side of scene 306. The eyewear device 100further includes a right visible-light camera 114B with a right field ofview 111B. The right camera 114B is connected to the frame 105 or theright temple 125B to capture a right raw image 302B from the right sideof scene 306.

FIG. 4 is a functional block diagram of an example motion evaluationsystem 400 that includes an eyewear device 100, a mobile device 401, anda server system 498 connected via various networks 495 such as theInternet. As shown, the motion evaluation system 400 includes alow-power wireless connection 425 and a high-speed wireless connection437 between the eyewear device 100 and the mobile device 401.

As shown in FIG. 4 , the eyewear device 100 includes one or morevisible-light cameras 114A, 114B that capture still images, videoimages, or both still and video images, as described herein. The cameras114A, 114B may have a direct memory access (DMA) to high-speed circuitry430 and function as a stereo camera. The cameras 114A, 114B may be usedto capture initial-depth images that may be rendered intothree-dimensional (3D) models that are texture-mapped images of a red,green, and blue (RGB) imaged scene. The device 100 may also include adepth sensor that uses infrared signals to estimate the position ofobjects relative to the device 100. The depth sensor in some examplesincludes one or more infrared emitter(s) and infrared camera(s) 410.

The eyewear device 100 further includes two image displays of eachoptical assembly 180A, 180B (one associated with the left side 170A andone associated with the right side 170B). The eyewear device 100 alsoincludes an image display driver 442, an image processor 412, low-powercircuitry 420, and high-speed circuitry 430. The image displays of eachoptical assembly 180A, 180B are for presenting images, including stillimages, video images, or still and video images. The image displaydriver 442 is coupled to the image displays of each optical assembly180A, 180B in order to control the display of images.

The components shown in FIG. 4 for the eyewear device 100 are located onone or more circuit boards, for example a printed circuit board (PCB) orflexible printed circuit (FPC), located in the rims or temples.Alternatively, or additionally, the depicted components can be locatedin the corners, frames, hinges, or bridge of the eyewear device 100.Left and right visible-light cameras 114A, 114B can include digitalcamera elements such as a complementary metal-oxide-semiconductor (CMOS)image sensor, a charge-coupled device, a lens, or any other respectivevisible or light capturing elements that may be used to capture data,including still images or video of scenes with unknown objects.

As shown in FIG. 4 , high-speed circuitry 430 includes a high-speedprocessor 432, a memory 434, and high-speed wireless circuitry 436. Inthe example, the image display driver 442 is coupled to the high-speedcircuitry 430 and operated by the high-speed processor 432 in order todrive the left and right image displays of each optical assembly 180A,180B. High-speed processor 432 may be any processor capable of managinghigh-speed communications and operation of any general computing systemneeded for eyewear device 100. High-speed processor 432 includesprocessing resources needed for managing high-speed data transfers onhigh-speed wireless connection 437 to a wireless local area network(WLAN) using high-speed wireless circuitry 436.

In some examples, the high-speed processor 432 executes an operatingsystem such as a LINUX operating system or other such operating systemof the eyewear device 100 and the operating system is stored in memory434 for execution. In addition to any other responsibilities, thehigh-speed processor 432 executes a software architecture for theeyewear device 100 that is used to manage data transfers with high-speedwireless circuitry 436. In some examples, high-speed wireless circuitry436 is configured to implement Institute of Electrical and ElectronicEngineers (IEEE) 802.11 communication standards, also referred to hereinas Wi-Fi. In other examples, other high-speed communications standardsmay be implemented by high-speed wireless circuitry 436.

The low-power circuitry 420 includes a low-power processor 422 andlow-power wireless circuitry 424. The low-power wireless circuitry 424and the high-speed wireless circuitry 436 of the eyewear device 100 caninclude short-range transceivers (Bluetooth™ or Bluetooth Low-Energy(BLE)) and wireless wide, local, or wide-area network transceivers(e.g., cellular or Wi-Fi). Mobile device 401, including the transceiverscommunicating via the low-power wireless connection 425 and thehigh-speed wireless connection 437, may be implemented using details ofthe architecture of the eyewear device 100, as can other elements of thenetwork 495.

Memory 434 includes any storage device capable of storing various dataand applications, including, among other things, camera data generatedby the left and right visible-light cameras 114A, 114B, the infraredcamera(s) 410, the image processor 412, and images generated for displayby the image display driver 442 on the image display of each opticalassembly 180A, 180B. Although the memory 434 is shown as integrated withhigh-speed circuitry 430, the memory 434 in other examples may be anindependent, standalone element of the eyewear device 100. In certainsuch examples, electrical routing lines may provide a connection througha chip that includes the high-speed processor 432 from the imageprocessor 412 or low-power processor 422 to the memory 434. In otherexamples, the high-speed processor 432 may manage addressing of memory434 such that the low-power processor 422 will boot the high-speedprocessor 432 any time that a read or write operation involving memory434 is needed.

As shown in FIG. 4 , various elements of the eyewear device 100 can becoupled to the low-power circuitry 420, high-speed circuitry 430, orboth. For example, the infrared camera 410 (including in someimplementations an infrared emitter), the user input elements 491 (e.g.,a button switch, a touchpad 181, a microphone 139), and the inertialmeasurement unit (IMU) 472 may be coupled to the low-power circuitry420, high-speed circuitry 430, or both.

As shown in FIG. 5 , the CPU 530 of the mobile device 401 may be coupledto a camera system 570, a mobile display driver 582, a user input layer591, and a memory 540A.

The server system 498 may be one or more computing devices as part of aservice or network computing system, for example, that include aprocessor, a memory, and network communication interface to communicateover the network 495 with an eyewear device 100 and a mobile device 401.

The output components of the eyewear device 100 include visual elements,such as the left and right image displays associated with each lens oroptical assembly 180A, 180B as described in FIGS. 2A and 2B (e.g., adisplay such as a liquid crystal display (LCD), a plasma display panel(PDP), a light emitting diode (LED) display, a projector, or awaveguide). The eyewear device 100 may include a user-facing indicator(e.g., an LED, a loudspeaker 191, or a vibrating actuator), or anoutward-facing signal (e.g., an LED, a loudspeaker 191). The imagedisplays of each optical assembly 180A, 180B are driven by the imagedisplay driver 442. In some example configurations, the outputcomponents of the eyewear device 100 further include additionalindicators such as audible elements (e.g., loudspeakers 191), tactilecomponents (e.g., an actuator such as a vibratory motor to generatehaptic feedback), and other signal generators. For example, the device100 may include a user-facing set of indicators, and an outward-facingset of signals. The user-facing set of indicators are configured to beseen or otherwise sensed by the user of the device 100. For example, thedevice 100 may include an LED display positioned so the user can see it,one or more speakers 191 positioned to generate a sound the user canhear, or an actuator to provide haptic feedback the user can feel. Theoutward-facing set of signals are configured to be seen or otherwisesensed by an observer near the device 100. Similarly, the device 100 mayinclude an LED, a loudspeaker 191, or an actuator that is configured andpositioned to be sensed by an observer.

The input components 491 of the eyewear device 100 may includealphanumeric input components (e.g., a touch screen or touchpad 181configured to receive alphanumeric input, a photo-optical keyboard, orother alphanumeric-configured elements), pointer-based input components(e.g., a mouse, a touchpad 181, a trackball, a joystick, a motionsensor, or other pointing instruments), tactile input components (e.g.,a button switch, a touch screen or touchpad 181 that senses thelocation, force or location and force of touches or touch gestures, orother tactile-configured elements), and audio input components (e.g., amicrophone 139), and the like. The mobile device 401 and the serversystem 498 may include alphanumeric, pointer-based, tactile, audio, andother input components.

In some examples, the eyewear device 100 includes a collection ofmotion-sensing components referred to as an inertial measurement unit472. The motion-sensing components may be micro-electro-mechanicalsystems (MEMS) with microscopic moving parts, often small enough to bepart of a microchip. The inertial measurement unit (IMU) 472 in someexample configurations includes an accelerometer, a gyroscope, and amagnetometer. The accelerometer senses the linear acceleration of thedevice 100 (including the acceleration due to gravity) relative to threeorthogonal axes (x, y, z). The gyroscope senses the angular velocity ofthe device 100 about three axes of rotation (pitch, roll, yaw).Together, the accelerometer and gyroscope can provide position,orientation, and motion data about the device relative to six axes (x,y, z, pitch, roll, yaw). The magnetometer, if present, senses theheading of the device 100 relative to magnetic north. The position ofthe device 100 may be determined by location sensors, such as a GPS unit473, one or more transceivers to generate relative position coordinates,altitude sensors or barometers, and other orientation sensors. Suchpositioning system coordinates can also be received over the wirelessconnections 425, 437 from the mobile device 401 via the low-powerwireless circuitry 424 or the high-speed wireless circuitry 436.

The IMU 472 may include or cooperate with a digital motion processor orprogramming that gathers the raw data from the components and compute anumber of useful values about the position, orientation, and motion ofthe device 100. For example, the acceleration data gathered from theaccelerometer can be integrated to obtain the velocity relative to eachaxis (x, y, z); and integrated again to obtain the position of thedevice 100 (in linear coordinates, x, y, and z). The angular velocitydata from the gyroscope can be integrated to obtain the position of thedevice 100 (in spherical coordinates). The programming for computingthese useful values may be stored in memory 434 and executed by thehigh-speed processor 432 of the eyewear device 100.

The eyewear device 100 may optionally include additional peripheralsensors, such as biometric sensors, specialty sensors, or displayelements integrated with eyewear device 100. For example, peripheraldevice elements may include any I/O components including outputcomponents, motion components, position components, or any other suchelements described herein. For example, the biometric sensors mayinclude components to detect expressions (e.g., hand expressions, facialexpressions, vocal expressions, body gestures, or eye tracking), tomeasure bio signals (e.g., blood pressure, heart rate, body temperature,perspiration, or brain waves), or to identify a person (e.g.,identification based on voice, retina, facial characteristics,fingerprints, or electrical bio signals such as electroencephalogramdata), and the like.

The mobile device 401 may be a smartphone, tablet, laptop computer,access point, or any other such device capable of connecting witheyewear device 100 using both a low-power wireless connection 425 and ahigh-speed wireless connection 437. Mobile device 401 is connected toserver system 498 and network 495. The network 495 may include anycombination of wired and wireless connections.

The motion evaluation system 400, as shown in FIG. 4 , includes acomputing device, such as mobile device 401, coupled to an eyeweardevice 100 over a network. The motion evaluation system 400 includes amemory for storing instructions and a processor for executing theinstructions. Execution of the instructions of the motion evaluationsystem 400 by the processor 432 configures the eyewear device 100 tocooperate with the mobile device 401. The motion evaluation system 400may utilize the memory 434 of the eyewear device 100 or the memoryelements 540A, 540B, 540C of the mobile device 401 (FIG. 5 ). Also, themotion evaluation system 400 may utilize the processor elements 432, 422of the eyewear device 100 or the central processing unit (CPU) 530 ofthe mobile device 401 (FIG. 5 ). In addition, the motion evaluationsystem 400 may further utilize the memory and processor elements of theserver system 498. In this aspect, the memory and processing functionsof the motion evaluation system 400 can be shared or distributed acrossthe processors and memories of the eyewear device 100, the mobile device401, and the server system 498.

In some implementations, the memory 434 includes or is coupled to amotion evaluation application 910, a localization system 915, an imageprocessing system 920, a voice recognition module 925, and an animationengine 930.

In a motion evaluation system 400 in which an inertial measurement unit(IMU) 472 is capturing frames of motion data 902, the motion evaluationapplication 910 configures the processor 432 to detect motion (e.g.,motion of the eyewear device 100 relative to a virtual target 710) andto present a virtual indicator 715, as described herein. In someimplementations, in which a camera is capturing frames of video data900, the motion evaluation application 910 configures the processor 432to detect a human form (e.g., hand shapes, arm motion) and to presentone or more virtual indicators 715, as described herein.

The localization system 915 configures the processor 432 to obtainlocalization data for use in determining the position of the eyeweardevice 100 relative to the physical environment. For example, thelocalization system 915 may access a series of motion data 902 capturedby the IMU 472 to determine the eyewear device location 840 inthree-dimensional coordinates relative to the physical environment (withor without reference to data from other sources, such as still images orvideo data). The localization data may be derived from a series ofimages captured by at least one camera 114A, from a series of motiondata 902 captured by the IMU 472, from data gathered by a GPS unit 473,or a combination thereof.

The image processing system 920 configures the processor 432 to presentvirtual or graphical elements (e.g., virtual targets 710, virtualindicators 715, as described herein) on a display of an optical assembly180A, 180B, in cooperation with the image display driver 442 and theimage processor 412.

The voice recognition module 925 configures the processor 432 toperceive human speech, convert the received speech into frames of audiodata 905, identify an inquiry based on the audio data 905, and assemblea response that is correlated to be responsive to the identifiedinquiry.

The animation engine 930 configures the processor 432 to render stillimages or animations (e.g., a punch animation 750, as described herein)for presentation on a display of an optical assembly 180A, 180B, incooperation with the image display driver 442 and the image processor412. Predefined and configurable images and animations are accessibleover the network 495 and, in some implementations, are stored in theobject data library 482 described herein.

FIG. 5 is a high-level functional block diagram of an example mobiledevice 401. Mobile device 401 includes a flash memory 540A which storesprogramming to be executed by the CPU 530 to perform all or a subset ofthe functions described herein.

The mobile device 401 may include a camera 570 that comprises at leasttwo visible-light cameras (first and second visible-light cameras withoverlapping fields of view) or at least one visible-light camera and adepth sensor with substantially overlapping fields of view. Flash memory540A may further include multiple images or video, which are generatedvia the camera 570.

As shown, the mobile device 401 includes an image display 580, a mobiledisplay driver 582 to control the image display 580, and a displaycontroller 584. In the example of FIG. 5 , the image display 580includes a user input layer 591 (e.g., a touchscreen) that is layered ontop of or otherwise integrated into the screen used by the image display580.

Examples of touchscreen-type mobile devices that may be used include(but are not limited to) a smart phone, a personal digital assistant(PDA), a tablet computer, a laptop computer, or other portable device.However, the structure and operation of the touchscreen-type devices isprovided by way of example; the subject technology as described hereinis not intended to be limited thereto. For purposes of this discussion,FIG. 5 therefore provides a block diagram illustration of the examplemobile device 401 with a user interface that includes a touchscreeninput layer 591 for receiving input (by touch, multi-touch, or gesture,and the like, by hand, stylus, or other tool) and an image display 580for displaying content

As shown in FIG. 5 , the mobile device 401 includes at least one digitaltransceiver (XCVR) 510, shown as WWAN XCVRs, for digital wirelesscommunications via a wide-area wireless mobile communication network.The mobile device 401 also includes additional digital or analogtransceivers, such as short-range transceivers (XCVRs) 520 forshort-range network communication, such as via NFC, VLC, DECT, ZigBee,Bluetooth™, or Wi-Fi. For example, short range XCVRs 520 may take theform of any available two-way wireless local area network (WLAN)transceiver of a type that is compatible with one or more standardprotocols of communication implemented in wireless local area networks,such as one of the Wi-Fi standards under IEEE 802.11.

To generate location coordinates for positioning of the mobile device401, the mobile device 401 can include a global positioning system (GPS)receiver. Alternatively, or additionally the mobile device 401 canutilize either or both the short range XCVRs 520 and WWAN XCVRs 510 forgenerating location coordinates for positioning. For example, cellularnetwork, Wi-Fi, or Bluetooth™ based positioning systems can generatevery accurate location coordinates, particularly when used incombination. Such location coordinates can be transmitted to the eyeweardevice over one or more network connections via XCVRs 510, 520.

The client device 401 in some examples includes a collection ofmotion-sensing components referred to as an inertial measurement unit(IMU) 572 for sensing the position, orientation, and motion of theclient device 401. The motion-sensing components may bemicro-electro-mechanical systems (MEMS) with microscopic moving parts,often small enough to be part of a microchip. The inertial measurementunit (IMU) 572 in some example configurations includes an accelerometer,a gyroscope, and a magnetometer. The accelerometer senses the linearacceleration of the client device 401 (including the acceleration due togravity) relative to three orthogonal axes (x, y, z). The gyroscopesenses the angular velocity of the client device 401 about three axes ofrotation (pitch, roll, yaw). Together, the accelerometer and gyroscopecan provide position, orientation, and motion data about the devicerelative to six axes (x, y, z, pitch, roll, yaw). The magnetometer, ifpresent, senses the heading of the client device 401 relative tomagnetic north.

The IMU 572 may include or cooperate with a digital motion processor orprogramming that gathers the raw data from the components and compute anumber of useful values about the position, orientation, and motion ofthe client device 401. For example, the acceleration data gathered fromthe accelerometer can be integrated to obtain the velocity relative toeach axis (x, y, z); and integrated again to obtain the position of theclient device 401 (in linear coordinates, x, y, and z). The angularvelocity data from the gyroscope can be integrated to obtain theposition of the client device 401 (in spherical coordinates). Theprogramming for computing these useful values may be stored in on ormore memory elements 540A, 540B, 540C and executed by the CPU 540 of theclient device 401.

The transceivers 510, 520 (i.e., the network communication interface)conforms to one or more of the various digital wireless communicationstandards utilized by modern mobile networks. Examples of WWANtransceivers 510 include (but are not limited to) transceiversconfigured to operate in accordance with Code Division Multiple Access(CDMA) and 3rd Generation Partnership Project (3GPP) networktechnologies including, for example and without limitation, 3GPP type 2(or 3GPP2) and LTE, at times referred to as “4G.” For example, thetransceivers 510, 520 provide two-way wireless communication ofinformation including digitized audio signals, still image and videosignals, web page information for display as well as web-related inputs,and various types of mobile message communications to/from the mobiledevice 401.

The mobile device 401 further includes a microprocessor that functionsas a central processing unit (CPU); shown as CPU 530 in FIG. 4 . Aprocessor is a circuit having elements structured and arranged toperform one or more processing functions, typically various dataprocessing functions. Although discrete logic components could be used,the examples utilize components forming a programmable CPU. Amicroprocessor for example includes one or more integrated circuit (IC)chips incorporating the electronic elements to perform the functions ofthe CPU. The CPU 530, for example, may be based on any known oravailable microprocessor architecture, such as a Reduced Instruction SetComputing (RISC) using an ARM architecture, as commonly used today inmobile devices and other portable electronic devices. Of course, otherarrangements of processor circuitry may be used to form the CPU 530 orprocessor hardware in smartphone, laptop computer, and tablet.

The CPU 530 serves as a programmable host controller for the mobiledevice 401 by configuring the mobile device 401 to perform variousoperations, for example, in accordance with instructions or programmingexecutable by CPU 530. For example, such operations may include variousgeneral operations of the mobile device, as well as operations relatedto the programming for applications on the mobile device. Although aprocessor may be configured by use of hardwired logic, typicalprocessors in mobile devices are general processing circuits configuredby execution of programming.

The mobile device 401 includes a memory or storage system, for storingprogramming and data. In the example, the memory system may include aflash memory 540A, a random-access memory (RAM) 540B, and other memorycomponents 540C, as needed. The RAM 540B serves as short-term storagefor instructions and data being handled by the CPU 530, e.g., as aworking data processing memory. The flash memory 540A typically provideslonger-term storage.

Hence, in the example of mobile device 401, the flash memory 540A isused to store programming or instructions for execution by the CPU 530.Depending on the type of device, the mobile device 401 stores and runs amobile operating system through which specific applications areexecuted. Examples of mobile operating systems include Google Android,Apple iOS (for iPhone or iPad devices), Windows Mobile, Amazon Fire OS,RIM BlackBerry OS, or the like.

The processor 432 within the eyewear device 100 may construct a map ofthe environment surrounding the eyewear device 100, determine a locationof the eyewear device within the mapped environment, and determine arelative position of the eyewear device to one or more objects in themapped environment. The processor 432 may construct the map anddetermine location and position information using a simultaneouslocalization and mapping (SLAM) algorithm applied to data received fromone or more sensors. Sensor data includes images received from one orboth of the cameras 114A, 114B, distance(s) received from a laser rangefinder, position information received from a GPS unit 473, motion andacceleration data received from an IMU 572, or a combination of datafrom such sensors, or from other sensors that provide data useful indetermining positional information. In the context of augmented reality,a SLAM algorithm is used to construct and update a map of anenvironment, while simultaneously tracking and updating the location ofa device (or a user) within the mapped environment. The mathematicalsolution can be approximated using various statistical methods, such asparticle filters, Kalman filters, extended Kalman filters, andcovariance intersection. In a system that includes a high-definition(HD) video camera that captures video at a high frame rate (e.g., thirtyframes per second), the SLAM algorithm updates the map and the locationof objects at least as frequently as the frame rate; in other words,calculating and updating the mapping and localization thirty times persecond.

Sensor data includes image(s) received from one or both cameras 114A,114B, distance(s) received from a laser range finder, positioninformation received from a GPS unit 473, motion and acceleration datareceived from an IMU 472, or a combination of data from such sensors, orfrom other sensors that provide data useful in determining positionalinformation.

FIG. 6 depicts an example physical environment 600 along with elementsthat are useful when using a SLAM application and other types oftracking applications (e.g., natural feature tracking (NFT), handtracking). A user 602 of eyewear device 100 is present in an examplephysical environment 600 (which, in FIG. 6 , is an interior room). Theprocessor 432 of the eyewear device 100 determines its position withrespect to one or more objects 604 within the environment 600 usingcaptured images, constructs a map of the environment 600 using acoordinate system (x, y, z) for the environment 600, and determines itsposition within the coordinate system. Additionally, the processor 432determines a head pose (roll, pitch, and yaw) of the eyewear device 100within the environment by using two or more location points (e.g., threelocation points 606 a, 606 b, and 606 c) associated with a single object604 a, or by using one or more location points 606 associated with twoor more objects 604 a, 604 b, 604 c. The processor 432 of the eyeweardevice 100 may position a virtual object 608 (such as the key shown inFIG. 6 ) within the environment 600 for viewing during an augmentedreality experience.

The localization system 915 in some examples includes a virtual marker610 a associated with a virtual object 608 in the environment 600. Inaugmented reality, markers are registered at locations in theenvironment to assist devices with the task of tracking and updating thelocation of users, devices, and objects (virtual and physical) in amapped environment. Markers are sometimes registered to a high-contrastphysical object, such as the relatively dark object, such as the framedpicture 604 a, mounted on a lighter-colored wall, to assist cameras andother sensors with the task of detecting the marker. The markers may bepreassigned or may be assigned by the eyewear device 100 upon enteringthe environment.

Markers can be encoded with or otherwise linked to information. A markermight include position information, a physical code (such as a bar codeor a QR code; either visible to the user or hidden), or a combinationthereof. A set of data associated with the marker is stored in thememory 434 of the eyewear device 100. The set of data includesinformation about the marker 610 a, the marker’s position (location andorientation), one or more virtual objects, or a combination thereof. Themarker position may include three-dimensional coordinates for one ormore marker landmarks 616 a, such as the corner of the generallyrectangular marker 610 a shown in FIG. 6 . The marker location may beexpressed relative to real-world geographic coordinates, a system ofmarker coordinates, a position of the eyewear device 100, or othercoordinate system. The one or more virtual objects associated with themarker 610 a may include any of a variety of material, including stillimages, video, audio, tactile feedback, executable applications,interactive user interfaces and experiences, and combinations orsequences of such material. Any type of content capable of being storedin a memory and retrieved when the marker 610 a is encountered orassociated with an assigned marker may be classified as a virtual objectin this context. The key 608 shown in FIG. 6 , for example, is a virtualobject displayed as a still image, either 2D or 3D, at a markerlocation.

In one example, the marker 610 a may be registered in memory as beinglocated near and associated with a physical object 604 a (e.g., theframed work of art shown in FIG. 6 ). In another example, the marker maybe registered in memory as being a particular position with respect tothe eyewear device 100.

FIG. 8 is a flow chart 820 listing the steps in an example method ofpresenting an exercise experience 700 on the display 180B of an eyeweardevice 100. Although the steps are described with reference to theeyewear device 100 described herein, other implementations of the stepsdescribed, for other types of devices, will be understood by one ofskill in the art from the description herein. One or more of the stepsshown and described may be performed simultaneously, in a series, in anorder other than shown and described, or in conjunction with additionalsteps. Some steps may be omitted or, in some applications, repeated.

The motion evaluation application 910 described herein, in someimplementations, starts in response to receiving a selection through auser interface (e.g., selecting from a menu, pressing a button, using atouchpad) or through some other input means (e.g., hand gesture, fingermotion, voice command). In other examples, the motion evaluationapplication 910 starts in response to detecting a body posture or motion(e.g., a repetitive motion 805, a traversing motion 806) as describedherein.

Block 822 in FIG. 8 describes an example step of capturing frames amotion data 902 with the inertial measurement unit (IMU) 472 of aneyewear device 100. The eyewear device 100 in this example includes anIMU 472, at least one camera 114A, a display 180B, and a motionevaluation application 910. In some implementations, the process ofcapturing frames of motion data 902 is ongoing during active use of theeyewear device 100. In other examples, the process of capturing startsin response to receiving a selection through a user interface or throughsome other input means. The example method, at block 822, in someimplementations, includes storing the captured frames of motion data 902in memory 434 on the eyewear device 100, at least temporarily, such thatthe frames of data are available for analysis.

Block 824 describes an example step of presenting a virtual target 710at a target position 712 relative to the display 180B. The targetposition 712 in some implementations is generally fixed so that itappears at the same position on the display 180B, without regard to thesurrounding physical environment 600 or the motion of the eyewear device100 through the environment. The virtual target 710 is presented as anoverlay relative to the physical environment 600.

Block 826 describes an example step of locating the eyewear device 100relative to the virtual target 710. After the virtual target 710 ispresented at the target position 712, the eyewear device 100, of course,moves through the physical environment 600 and changes its locationrelative to the virtual target 710. The current eyewear device location840 as described herein is determined using a process calledlocalization.

The localization system 915 on the eyewear device 100 in someimplementations configures the processor 432 on the eyewear 100 toobtain localization data based on the captured frames of motion data 902gathered by the IMU 472. In some implementations, the localizationsystem 915 constructs a virtual map of various elements within thecamera field of view 904 using a SLAM algorithm, as described herein,updating the map and the location of objects at least as frequently asthe IMU 472 captures motion data. In some implementations, the IMU 472is capable of capturing motion data at very high sample rates (e.g., 100hertz (samples per second), 720 Hz, 1024 Hz, 1344 Hz, 3200 Hz, orhigher). Frequent measurements facilitate the detection and analysis ofrelatively subtle motions of the eyewear device 100 over time, relativeto the virtual target 710.

The step of locating the eyewear device 100 relative to the virtualtarget 710 in some implementations includes calculating a correlationbetween the virtual target position 712 and the current eyewear location840. The term correlation refers to and includes one or more vectors,matrices, formulas, or other mathematical expressions sufficient todefine the three-dimensional distance between the virtual targetposition 712 and the current eyewear device location 840. The currenteyewear device location 840, of course, is tied to or persistentlyassociated with the display 180B which is supported by the frame of theeyewear device 100. In this aspect, the correlation performs thefunction of calibrating the motion of the eyewear 100 with the virtualtarget position 712. Because the localization process occurs continuallyand frequently, the correlation is calculated continually andfrequently, resulting in accurate and near real-time tracking of thecurrent eyewear location 840 relative to the virtual target position712.

Block 828 describes an example step of presenting a virtual indicator715 on the display 180B based on the current eyewear device location840. In this aspect, the virtual indicator 715 moves in correlation withmovements of the eyewear device 100. For example, if the eyewear device100 moves generally up and down, the virtual indicator 715 (e.g., thevirtual slider 715 a shown in FIG. 7A) on the display 180B moves up anddown. In general, the virtual indicator 715 includes one or moreevaluation tools to inform the user or wearer of the eyewear device 100about his or her posture or performance relative to one or more idealsor benchmarks.

FIG. 7A is a perspective illustration of an example exercise experience700 in which the virtual target 710 comprises a graduated scale 710 aand the virtual indicator 715 comprises a slider 715 a which moves incorrelation with movements of the eyewear device 100 (based on thecurrent eyewear device location 840). As shown, the graduated scale 710a is presented at a scale location 712 a relative to the display 180B.In some implementations, the virtual indicator 715 comprises a slider715 a and a graphical icon 716 a which move together relative to thegraduated scale 710 a.

FIG. 7B is a perspective illustration of another example exerciseexperience 700 in which the virtual target 710 comprises a punching bag710 b and the virtual indicator 715 comprises a neutral glove 721 and anactive glove 722. The virtual gloves 721, 722 move in correlation withmovements of the current eyewear device location 840 and, in someimplementations, in correlation with movements of a detected hand shape602 b, as described herein.

FIG. 7C is a perspective illustration of another example exerciseexperience 700 in which the virtual target 710 comprises one or morevirtual orbs 710 c and the virtual indicator 715 comprises a response(e.g., a visible change, audible sound, or tactile vibration) when thecurrent eyewear device location 840 is detected within a proximity 734of one of the orbs 710 c, as described herein.

FIG. 7D is a perspective illustration of another example exerciseexperience 700 in which the virtual target 710 comprises one or moreguidance icons 710 d and the virtual indicator 715 comprises at leastone additional guidance icon 715 d presented on the display 180B inaccordance with the detected motion of the current eyewear devicelocation 840.

Block 830 describes an example step of detecting and setting one or morelimits relative to a virtual target 710, wherein each limit isassociated with a particular posture or pose performed by the wearer ofthe eyewear device 100. The process of detecting in some implementationsis based on the captured frames of motion data 902 from the IMU 472. Forexample, in FIG. 7A, the inset view on the left shows the wearer of aneyewear device 100 in a neutral posture 801 (e.g., standing) and in anactive posture 802 (e.g., squatting). The process of detecting in someimplementations includes detecting a first limit 720 based on theeyewear device location 840 associated with the neutral posture 801(e.g., the three-dimensional eyewear device location 840 captured whenthe wearer is standing upright, in the neutral posture 801). In thisaspect, the first limit 720 represents the neutral posture 801. As shownin FIG. 7A, the first limit 720 is presented on the display 180B as abar-shaped icon near the top of the graduated scale 710 a.

Similarly, the process of detecting in some implementations furtherincludes detecting a second limit 725 based on the eyewear devicelocation 840 associated with the active posture 802 (e.g., thethree-dimensional eyewear device location 840 captured when the weareris in a full squat, the active posture 802). In this aspect, the secondlimit 725 represents the active posture 802. As shown in FIG. 7A, thesecond limit 725 is presented on the display 180B as a bar-shaped iconnear the bottom of the graduated scale 710 a.

In another aspect, the example step at block 830 of detecting andsetting one or more limits includes calibrating the graduated scale 710a according to the first and second limits 720, 725 and the size andshape of the display 180B. As shown in FIG. 7A, the graduated scale 710a occupies a particular space on the display 180B. The graduated scale710 a is calibrated so that the first and second limits 720, 725 willappear within the viewable space. For example, the upper or first limit720 may be set near the top of the graduated scale 710 a. Then, based onthe detected lower or second limit 725 (and the space available on thedisplay 180B) the units of measurement on the graduated scale 710 a arecalibrated so that the second limit 725 will be set near the bottom ofthe graduated scale 710 a. In this aspect, the graduated scale 710 awhen calibrated may include a view of both limits 720, 725 for any of arange of different squat depths. For example, the eyewear devicelocation 840 may change by thirty inches or more for a relatively tallwearer, compared to a change of twenty inches or less for a relativelyshort wearer.

In some implementations, the example step at block 830 of detecting andsetting one or more limits 720, 725 includes a guided tutorial withinstructions and at least one input element 491 for receiving aselection. In this example, the motion evaluation application 910 isconfigured to present a message (e.g., a text message on the display180B, an audio command through the loudspeaker 191) instructing thewearer to perform the neutral posture 801 (e.g., “Stand upright now.”).The motion evaluation application 910 in this example is furtherconfigured to detect a selecting action via one of the input elements491 on the eyewear device 100. For example, the selecting action mayinclude pushing a button switch on the eyewear device 100, tapping atouchpad 181, speaking a phrase into the microphone 139, or performing apredefined and configurable hand gesture within the field of view 904 ofthe camera 114A. In response, the motion evaluation application 910 maybe configured to emit a response indicating the selection has beenreceived (e.g., play a sound, speak a message (e.g., “Standing heightset”), initiate a tactile vibration).

Similarly, the motion evaluation application 910 may be configured topresent a subsequent message (e.g., a text message, an audio command)instructing the wearer to perform the active posture 802 (e.g., “Squatto full depth now”), detect a selecting action (e.g., a button push, atap, a spoken phrase), and emit a response (e.g., “Squat depth set”).

Although this example describes the exercise of performing squats, theprocesses and the detection of limits are equally applicable to othertypes of motion or exercise, especially those in which the eyeweardevice 100 would move in a repetitive motion from one extreme to another(e.g., lunges, chin-ups, push-ups, box jumps, dead lifts). Moreover,although these examples describe a repetitive motion that is generallyvertical (e.g., up and down), the processes and the detection of limitsare equally applicable to other motions and exercise in which therepetitive motion is generally horizontal (e.g., lateral, side to side)or angular (e.g., from lower left to upper right) or a combination ofmultiple motions (e.g., a lateral motion followed by a vertical motion).

Block 832 describes an example step of presenting on the display 180Bthe graduated scale 710 a (as calibrated), the first limit 720, thesecond limit 725, and the virtual indicator 715 (e.g., the slider 715 aand graphical icon 716 a). In some implementations, the graphical icon716 a comprises a series of stick figures or other exemplary body shapesto illustrate the desired postures associated with a particularexercise. For example, as shown in FIG. 7A, the graphical icon 716 a ispresented in a standing position when the slider 715 a is near the upperor first limit 720, in a full squat when the slider 715 a is near thelower or second limit 725, and in an intermediate squatting posture whenthe slider 715 a is presented at an intermediate position along thecalibrated, graduated scale 710 a. The graphical icon 716 a in someimplementations includes a series of intermediate postures representingone or more benchmarks for a particular exercise.

Block 834 describes an example step of detecting a repetitive motion 805of the eyewear device 100 based on the captured frames of motion data902 (e.g., captured by the IMU 472 of the eyewear device 100) andincrementing a current repetition count 781. During operation and use bya wearer, the motion of the eyewear device 100, of course, approximatesthe motion of the wearer. For example, when the wearer engages incalisthenics (e.g., squats, lunges, sparring, jogging, jumping jacks,push-ups), the IMU 472 registers and approximates the motion of thewearer. High IMU sample rates facilitate the detection and analysis ofrepetitive motions 805 over time. The process of detecting a repetitivemotion 805 in some implementations includes detecting a current eyewearposition 840, as shown in FIGS. 7A through 7D, in three-dimensionalcoordinates relative to one or more elements of the physical environment600.

As used herein, a repetition refers to and includes a movement that isrepeated, especially a single cycle or sequence of moving away followedby returning (e.g., moving a body part between positions, raising andlowering a weight). A repetition typically begins at a first position,includes movement to a second position, may include a pause, and thenincludes a returning movement back toward the first position. Arepetition relative to parts of the body may involve flexion andextension, abduction and adduction, medial and lateral rotation,elevation and depression, pronation and supination, dorsiflexion andplantarflexion, inversion and eversion, opposition and reposition,protraction and retraction, circumduction through an angular distance,and the like.

The process of detecting a repetitive motion 805 includes analyzing theframes of motion data 902 captured by the IMU 472 (e.g., position,acceleration, angular velocity) and determining whether the detectedmotion is repetitive in nature. In this aspect, the process includesdetecting the eyewear device location 840, in sequential order, near afirst position, moving toward and near a second position, and thenreturning near the first position. In the context of the squat exampleshown in FIG. 7A, the process of detecting a repetitive motion 805includes detecting the eyewear device location 840, in sequential order,at or near the first limit 720, in motion toward and at or near thesecond limit 725, and then in a returning motion at or near the firstlimit 720 again.

To accommodate for variations in user motion and the eyewear location840 relative to the precise limits, the first and second limits 720, 725in some implementations include a predefined and configurable proximityassociated with each limit. For example, as shown in FIG. 7A, the secondlimit 725 is defined to include a second proximity 732 which is depictedas a rectangular area in the figure, but in some implementations isdefined as a three-dimensional polyhedron. Similarly, the first limit720 is defined to include a first proximity 731 (not shown). Eachproximity in some implementations is set to a predefined value (e.g., acertain distance, a percentage deviation in one or more orthogonaldirections) relative to the established limit, and is configurable(e.g., editable through a user interface). In some implementations, theproximity value varies according to the detected motion and variabilityof the eyewear location 840.

When a proximity is associated with each limit, and in the context ofthe squat example shown in FIG. 7A, the process of detecting arepetitive motion 805 includes detecting the eyewear device location840, in sequential order, within a first proximity 731 of the firstlimit 720, within a second proximity 732 of the second limit 725, andthen within the first proximity 731 of the first limit 720 again.

In the context of the punching bag example shown in FIG. 7B, thepunching bag location 712 b is defined to include a proximity 733 whichis depicted as a circle in the figure, but in some implementations isdefined as a three-dimensional sphere.

In the context of the side lunge example shown in FIG. 7C, the left lane723L is defined to include an orb proximity 734 which is depicted as adepicted as a rectangular area in the figure, but in someimplementations is defined as a three-dimensional polyhedron. Similarly,the right lane 723R is defined to include its own orb proximity. The orbproximity in some implementations is defined to at least partly surroundor coincide with the scoring plane 762, which is presented on thedisplay 180B at a scoring plane position 712 c.

The example step at block 834 also includes incrementing a currentrepetition count 781 in response to detecting a repetitive motion 805.In some implementations, the current rep count 781 is incremented onlyif a complete repetitive motion 805 is detected.

In some implementations, the process of incrementing a currentrepetition count 781 includes analyzing and recording the detectionmotions (e.g., the attempted repetitions) and generating a report thatincludes information for the wearer of the eyewear device 100 about hisor her posture or performance relative to one or more ideals orbenchmarks.

In the context of the squat example shown in FIG. 7A, a repetitivemotion 805 is complete when it includes detecting the eyewear devicelocation 840, in sequential order, within a first proximity 731 of thefirst limit 720, within a second proximity 732 of the second limit 725,and then within the first proximity 731 of the first limit 720 again. Insome implementations, any device location 840 detected outside of theassociated proximity will not count as a repetition; in other words, thecurrent repetition count 781 a will not increase. As shown, the currentrepetition count 781 a is presented on the display at an informationposition 775 a and in some implementations includes one or more relevantwords (e.g., REPS) and a graphical element (e.g., the shaded portion ofthe circular scale indicates progress toward a goal (e.g., a total often repetitions).

In the context of the punching bag example shown in FIG. 7B, the currentpunch count 781 b is presented on the display and in someimplementations includes one or more relevant words (e.g., HITS) and agraphical element (e.g., the shaded portion of the circular scaleindicates progress toward a goal (e.g., a total of ten bag strikes).

In the context of the side lunge example shown in FIG. 7C, the currentorb count 781 c is presented on the display and in some implementationsincludes one or more relevant words (e.g., POINTS) and a graphicalelement (e.g., the shaded portion of the circular scale indicatesprogress toward a goal (e.g., a total of ten points).

Block 836 describes an example step of detecting a hand shape 602 b inthe captured frames of video data 900 captured by at least one camera114A of the eyewear device 100. In this example step, the hand shape 602b (as shown in FIG. 7B) is detected at a hand position 740 relative tothe eyewear device location 840.

In some implementations, the high-speed processor 432 of the eyeweardevice 100 stores the captured frames of video data 900 with at leastone camera 114A as the wearer moves through a physical environment 600.As described herein and shown in FIG. 7A, the camera 114A typically hasa camera field of view 904 that captures images and video beyond thelimits of the display 180B. The camera system, in some implementations,includes one or more high-resolution, digital cameras equipped with aCMOS image sensor capable of capturing high-definition still images andhigh-definition video at relatively high frame rates (e.g., thirtyframes per second or more). Each frame of digital video includes depthinformation for a plurality of pixels in the image. In this aspect, thecamera system serves as a high-definition scanner by capturing adetailed input image of the physical environment. The camera in someimplementations includes a pair of high-resolution digital cameras 114A,114B coupled to the eyewear device 100 and spaced apart to acquire aleft-camera raw image and a right-camera raw image, as described herein.When combined, the raw images form an input image that includes a matrixof three-dimensional pixel locations. The example method, at block 836,in some implementations, includes storing the captured frames of videodata 900 in memory 434 on the eyewear device 100, at least temporarily,such that the frames are available for analysis.

In the context of the punching bag example shown in FIG. 7B, the motionevaluation application 910 includes a hand detection utility to analyzethe captured frames of video data 900 and detect hand shapes and handmotions over time. The hand detection utility, in some implementations,identifies a set of hand landmarks based on the pixel-level depthinformation contained in the captured frames of video data 900. The setof hand landmarks, for example, may include three-dimensionalcoordinates for as many as all fifteen of the interphalangeal joints,the five fingertips, and the wrist at its articulation points, as wellas other skeletal and soft-tissue landmarks.

Those skilled in the art will understand that the process of detectingand tracking includes detecting the hand, over time, in variouspostures, in a set or series of captured frames of video data 900. Inthis context, the detecting process at block 836 refers to and includesdetecting a hand in as few as one frame of video data, as well asdetecting the hand, over time, in a subset or series of frames of videodata. Accordingly, in some implementations, the process at block 836includes detecting a hand shape 602 b in a particular posture in one ormore of the captured frames of video data 900. In other implementations,the process at block 836 includes detecting the hand, over time, invarious shapes or postures, in a subset or series of captured frames ofvideo data 900.

In some implementations, the process of detecting the hand shape 602 bincludes identifying a hand position 740 in at least two dimensionsrelative to the current eyewear device location 840. The detection ofthe hand position 740 relative to the eyewear device location 840, ofcourse, also permits detection of the hand position 740 relative to thedisplay 180B and/or other objects having a known position (e.g., thepunching bag 710 b presented at bag position 712 b).

Block 838 describes an example step of detecting an intersecting posture803 b between the detected hand position 740 and a virtual target 710(e.g., the punching bag 710 b) and, in turn, incrementing a currentpunch count 781 b. As shown in FIG. 7B, the intersecting posture 803 bis characterized by the detected hand position 740 within a bagproximity 733 of the virtual punching bag 710 b. In this example, inuse, the punching bag 710 b is presented at a known bag location 712 brelative to the display 180B. The current eyewear device location 840 iscontinually detected and updated based on the IMU data. The handposition 740 relative to the eyewear device location 840 is detected inthe example step at block 836. With these data points established, themotion evaluation application 910 detects and continually updates thecurrent hand position 740 relative to the punching bag position 712 band thereby determines whether the hand position 740 and bag position712 b are detected in an intersecting posture 803 b.

In some implementations, the process of detecting an intersectingposture 803 b is based on the frames of motion data 902 captured by theIMU 472, or on the frames of video data 900 captured by the camera 114A,or on a combination of both.

The example step at block 838 also includes incrementing a current punchcount 781 b in response to detecting an intersecting posture 803 b. Asshown, the punch count 781 b in some implementations includes one ormore relevant words (e.g., HITS) and a graphical element (e.g., theshaded portion of the circular scale indicates progress toward a goal(e.g., a total of ten bag strikes).

Block 850 describes an example step of presenting a virtual indicator715 on the display 180B in response to detecting an intersecting posture803 b. In some implementations, the virtual indicator 715 includes aneutral glove 721 and an active glove 722, as shown in FIG. 7B. Theneutral glove 721 is shown on the left, illustrated in a relaxedposition. The active glove 722 on the right is shown in a forward,active and punching position. In this example, in response to detectingan intersecting posture 803 b, the active glove 722 is presented on thedisplay 180B near the bag position 712 b. In this aspect, when a handshape 602 b is detected near the bag 710 b, the active glove 722 ispresented on the display 180B to provide a visual cue that anintersecting posture 803 b has been detected.

In some implementations, the process of presenting a virtual indicator715 in response to detecting an intersecting posture 803 b includespresenting a punch animation 750 on the display 180B. The punchanimation 750 in some implementations includes presenting the neutralglove 721 followed by the active glove 722, as described above. Thepunch animation 750, in some implementations, also includes presentingthe virtual target 710 (e.g., punching bag 710 b) as a neutral bag 741and an active bag 742. As shown in FIG. 7B, an example neutral bag 741is illustrated in a neutral, upright, and apparently still orientation.An active bag 742 (not shown) in some implementations is illustrated ina rearward, deflected orientation and in apparent motion relative to theneutral bag 741, thereby illustrating the bag 710 b in response to beingstruck. The punch animation 750 in some implementations is controlledand driven by an animation engine 930 in cooperation with the imagedisplay driver 442 and an image processor 412 of the eyewear device 100.

In some implementations, the punch animation 750 includes presenting theactive bag 742 in close correlation (e.g., in time and position) withthe active glove 722, thereby illustrating a successful hit of the bag710 b. In this example, the process of presenting the punch animation750, in response to the detected intersecting posture 803 b, includes,in sequential order: (1) advance the virtual glove by presenting theactive glove 722 near the bag position 712 b (e.g., for a predefined andconfigurable punch duration); (2) show the bag strike by presenting theactive bag 742 (e.g., for the same punch duration) at a positionapparently beyond the bag position 712 b relative to the eyewear devicelocation 840; (3) withdrawing the virtual glove by presenting theneutral glove 721 at a position apparently closer to the eyewear devicelocation 840 relative to the bag position 712 b; and (4) return the bagto rest by presenting the neutral bag 741 at the bag position 712 b. Insome implementations, the punch animation 750 includes a number ofintermediate gloves and bags which are illustrated in intermediateshapes or postures and presented at intermediate positions betweenneutral and active.

Block 852 describes an example step of presenting on the display 180B avirtual target 710 that includes a distal position 760, a scoring plane762, and one or more orbs 710 c selectively presented on the display180B either on the left side or right side relative to the distalposition 760, as illustrated in FIG. 7C.

In this example, the scoring plane 762 is presented at a known scoringplane location 712 c relative to the display 180B. The current eyeweardevice location 840 is continually detected and updated based on the IMUdata. The eyewear device location 840 moves left and right as the wearerof the eyewear device 100, shown in the inset view in an orbintersecting posture 803 c as described herein, moves left and right(e.g., performing lateral lunges, left and right).

In some implementations, the one or more orbs 710 c are selectivelypresented at or near the scoring plane 762. In response, the wearer ofthe eyewear device 100 moves left or right in an attempt to perform anorb intersecting posture 803 c relative to the orb 710 c. In someimplementations, the orbs 710 c are apparently moving from the distalposition 760 toward the scoring plane 762, as described herein. In someimplementations, the orbs 710 c are characterized as either good or bad(e.g., using different colors, textures) and, in response, the wearer ofthe eyewear device 100 moves left or right in an attempt to intersectthe good orbs or avoid the bad orbs, as described herein.

Block 854 describes an example step of detecting an orb intersectingposture 803 c between the current eyewear device location 840 and avirtual target 710 (e.g., an orb 710 c) at or near the scoring plane 762and in turn, incrementing a current orb count 781 c. As shown in FIG.7C, the orb intersecting posture 803 c is characterized by detecting thecurrent eyewear device location 840 with an orb proximity 734 of atleast one of the orbs 710 c, and the scoring plane 762. In someimplementations, the process of detecting an orb intersecting posture803 c evaluates the eyewear device location 840 when at least one of theorbs 710 c is at or nearly coincident with the scoring plane 762.

In the context of the lateral lunge example shown in FIG. 7C, thevirtual target 710 in one aspect defines a field of play. The field ofplay includes the distal position 760 and the scoring plane 762presented at a scoring plane location 712 c. The scoring plane 762 insome implementations is divided into a virtual left lane 723L and avirtual right lane 723R. The field of play in some implementationsincludes one or more perspective lines, as shown in FIG. 7C, extendingalong at least a portion of the virtual lanes 723L, 723R. As the wearerof the eyewear device 100 moves left and right, the current eyeweardevice location 840 moves left and right, relative to all the elementspresented on the field of play. The motion evaluation application 910detects and continually updates the eyewear device location 840, basedon the IMU data (e.g., in some implementations, without reference toimage data 900 captured by the camera 114A). This relative motion allowsthe wearer to sense where he is relative to the field of play.

The example step at block 854 also includes incrementing a current orbcount 781 c in response to detecting an orb intersecting posture 803 c.As shown, the punch count 781 c in some implementations includes one ormore relevant words (e.g., POINTS) and a graphical element (e.g., theshaded portion of the circular scale indicates progress toward a goal(e.g., a total of ten points). In one aspect, an incremental change inthe current orb count 781 c serves as a virtual indicator 715 (e.g.,indicating a successful intersection).

In some implementations, the example step at block 854 also includespresenting a virtual indicator 715 on the display 180B in response todetecting the orb intersecting posture 803 c. In some implementations,the virtual indicator 715 includes a visible change in the intersectedorb (e.g., a color change, an animated burst, a disappearance), a soundplayed through the loudspeaker 191 (e.g., a beep, a popping sound), atactile vibration of the eyewear device 100, or combinations of one ormore such indicators.

In some implementations, the motion evaluation application 910 presentsthe one or more orbs 710 c in apparent motion from the distal position760 toward the scoring plane 762 by, for example, presenting the orbs710 c in shapes and sizes which vary according to the relative distancebetween the distal position 760 and the scoring plane 762. For example,as shown in FIG. 7B, the orb 710 c approaching in the left lane 723L isrelatively small, indicating it is relatively closer to the distalposition 760. The orb 710 c approaching in the right lane 723R isrelatively larger, occupying nearly all of the right half the scoringplane 762, indicating it is relatively close to the scoring plane 762(e.g., where the intersection must occur). In some implementations, theorb 710 c approach in the same lane persistently (e.g., along the entirelane, from the distal position 760 to the scoring plane 762). In otherimplementations, the orbs 710 c change lanes (e.g., from left 723L toright 723R, and back) as they apparently move toward the scoring plane762. In some implementations, the apparent motion of the orbs 710 c iscontrolled and driven by the animation engine 930 in cooperation withthe image display driver 442 and an image processor 412 of the eyeweardevice 100.

In some implementations, the orbs 710 c are characterized as either goodor bad (e.g., using different colors, textures) and, in response, thewearer of the eyewear device 100 moves left or right in an attempt tointersect the good orbs and avoid the bad orbs. In this example, thestep of detecting the orb intersecting posture 803 c includes detectinga good-orb intersecting posture (e.g., the current eyewear location 840detected within the proximity at least one of the good orbs 710 c at thescoring plane 762) and detecting a bad-orb avoiding posture (e.g., thecurrent eyewear location 840 detected outside the proximity of at leastone of the bad orbs 710 c at the scoring plane 762). In someimplementations, the current orb count 781 c increases in response todetecting either a detected good-orb intersecting posture or a bad-orbavoiding posture.

In the context of the orbs 710 c in apparent motion toward the scoringplane 762, the orbs 710 c in some implementations are characterized aseither good or bad persistently (e.g., along the entire lane, from thedistal position 760 to the scoring plane 762). In other implementations,the orbs 710 c may change their character (e.g., from good to bad, andback) as they apparently move toward the scoring plane 762.

Block 856 describes an example step of presenting on the display 180B avirtual target 710 that includes one or more guidance icons 710 d. Inuse, the guidance icons 710 d offer guidance to the wearer of an eyeweardevice 100 engaged in any of a variety of traversing motions (e.g.,walking, running, cycling, skiing, driving) along a predefined andconfigurable course, or along no particular course.

As shown in FIG. 7D, the guidance icons 710 d are presented at an iconposition 712 d relative to the physical environment 600. In someimplementations, the icon position 712 d is persistently correlated withthe physical environment 600, such that the one or more guidance icons710 d are presented on the display 180B at a position that is apparentlyfixed relative to the physical environment 600. For example, theguidance icons 710 d shown in FIG. 7D will be apparently fixed at alocation on the road, ahead of the wearer, without regard to the currenteyewear location 840. In other implementations, the icon position 712 dis persistently correlated with the display 180B, such that the one ormore guidance icons 710 d always appear at the same relative position onthe display 180B (e.g., near the center), without regard to the physicalenvironment 600.

The process of presenting the one or more guidance icons 710 d, in someimplementations, includes presenting information on the display 180B,including but not limited to an elapsed time 771, an elapsed distance772, a current pace 773, or combinations thereof.

Block 858 describes an example step of detecting a traversing motion 806of the eyewear device 100 based on the captured frames of motion data902 (e.g., captured by the IMU 472 of the eyewear device 100) andpresenting a virtual indicator 715 comprising at least one additionalguidance icon 715 d, as shown in FIG. 7D. During operation and use by awearer, the motion of the eyewear device 100, of course, approximatesthe motion of the wearer. For example, when the wearer engages in atraversing motion (e.g., walking, running, cycling, skiing, driving),the IMU 472 registers and approximates the motion of the wearer. HighIMU sample rates facilitate the detection and analysis of traversingmotions 806 over time.

As used herein, a traversing motion 806 refers to and includes amovement that is primarily in translation (as opposed to rotation),especially a forward movement. The process of detecting a traversingmotion 806 includes analyzing the frames of motion data 902 captured bythe IMU 472 (e.g., position, acceleration, angular velocity) anddetermining whether the detected motion is primarily in translation.

The process of presenting least one additional guidance icon 715 d insome implementations is based on the detected traversing motion 806 ofthe eyewear device 100, such that the additional guidance icon 715 d ispresented at a location that is correlated with the motion 806 of theeyewear device 100. In this aspect, the additional guidance icon 715 dmay or may not be presented near the original set of one or moreguidance icons 710 d. The process of presenting least one additionalguidance icon 715 d in some implementations includes ceasing to present(e.g., erasing) one or more of the guidance icons 710 d. In this aspect,the additional guidance icons 715 d may be presented in an ongoingsequential trail, ahead of the wearer, at an apparent location that iscorrelated with the ongoing motion 806 of the eyewear device 100.

Although the various systems and methods are described herein withreference to fitness, exercises, and exercise equipment, the technologydescribed may be applied to detecting any type of experience or activityinvolving motion which occurs in a physical environment, retrieving dataabout the detected activity, and presenting one or more virtualevaluation tools, teaching, or other guidance on a display.

Any of the functionality described herein for the eyewear device 100,the mobile device 401, and the server system 498 can be embodied in oneor more computer software applications or sets of programminginstructions, as described herein. According to some examples,“function,” “functions,” “application,” “applications,” “instruction,”“instructions,” or “programming” are program(s) that execute functionsdefined in the programs. Various programming languages can be employedto develop one or more of the applications, structured in a variety ofmanners, such as object-oriented programming languages (e.g.,Objective-C, Java, or C++) or procedural programming languages (e.g., Cor assembly language). In a specific example, a third-party application(e.g., an application developed using the ANDROID™ or IOS™ softwaredevelopment kit (SDK) by an entity other than the vendor of theparticular platform) may include mobile software running on a mobileoperating system such as IOS™, ANDROID™, WINDOWS® Phone, or anothermobile operating system. In this example, the third-party applicationcan invoke API calls provided by the operating system to facilitatefunctionality described herein.

Hence, a machine-readable medium may take many forms of tangible storagemedium. Non-volatile storage media include, for example, optical ormagnetic disks, such as any of the storage devices in any computerdevices or the like, such as may be used to implement the client device,media gateway, transcoder, etc. shown in the drawings. Volatile storagemedia include dynamic memory, such as main memory of such a computerplatform. Tangible transmission media include coaxial cables; copperwire and fiber optics, including the wires that comprise a bus within acomputer system. Carrier-wave transmission media may take the form ofelectric or electromagnetic signals, or acoustic or light waves such asthose generated during radio frequency (RF) and infrared (IR) datacommunications. Common forms of computer-readable media thereforeinclude for example: a floppy disk, a flexible disk, hard disk, magnetictape, any other magnetic medium, a CD-ROM, DVD or DVD-ROM, any otheroptical medium, punch cards paper tape, any other physical storagemedium with patterns of holes, a RAM, a PROM and EPROM, a FLASH-EPROM,any other memory chip or cartridge, a carrier wave transporting data orinstructions, cables or links transporting such a carrier wave, or anyother medium from which a computer may read programming code or data.Many of these forms of computer readable media may be involved incarrying one or more sequences of one or more instructions to aprocessor for execution.

Except as stated immediately above, nothing that has been stated orillustrated is intended or should be interpreted to cause a dedicationof any component, step, feature, object, benefit, advantage, orequivalent to the public, regardless of whether it is or is not recitedin the claims.

It will be understood that the terms and expressions used herein havethe ordinary meaning as is accorded to such terms and expressions withrespect to their corresponding respective areas of inquiry and studyexcept where specific meanings have otherwise been set forth herein.Relational terms such as first and second and the like may be usedsolely to distinguish one entity or action from another withoutnecessarily requiring or implying any actual such relationship or orderbetween such entities or actions. The terms “comprises,” “comprising,”“includes,” “including,” or any other variation thereof, are intended tocover a non-exclusive inclusion, such that a process, method, article,or apparatus that comprises or includes a list of elements or steps doesnot include only those elements or steps but may include other elementsor steps not expressly listed or inherent to such process, method,article, or apparatus. An element preceded by “a” or “an” does not,without further constraints, preclude the existence of additionalidentical elements in the process, method, article, or apparatus thatcomprises the element.

Unless otherwise stated, any and all measurements, values, ratings,positions, magnitudes, sizes, and other specifications that are setforth in this specification, including in the claims that follow, areapproximate, not exact. Such amounts are intended to have a reasonablerange that is consistent with the functions to which they relate andwith what is customary in the art to which they pertain. For example,unless expressly stated otherwise, a parameter value or the like mayvary by as much as plus or minus ten percent from the stated amount orrange.

In addition, in the foregoing Detailed Description, it can be seen thatvarious features are grouped together in various examples for thepurpose of streamlining the disclosure. This method of disclosure is notto be interpreted as reflecting an intention that the claimed examplesrequire more features than are expressly recited in each claim. Rather,as the following claims reflect, the subject matter to be protected liesin less than all features of any single disclosed example. Thus, thefollowing claims are hereby incorporated into the Detailed Description,with each claim standing on its own as a separately claimed subjectmatter.

While the foregoing has described what are considered to be the bestmode and other examples, it is understood that various modifications maybe made therein and that the subject matter disclosed herein may beimplemented in various forms and examples, and that they may be appliedin numerous applications, only some of which have been described herein.It is intended by the following claims to claim any and allmodifications and variations that fall within the true scope of thepresent concepts.

What is claimed is:
 1. A method of presenting an exercise experiencewith an eyewear device, the eyewear device comprising an inertialmeasurement unit, a motion evaluation application, and a display, themethod comprising: capturing frames of motion data with the inertialmeasurement unit; presenting on the display a virtual target at a targetposition relative to the display; locating the eyewear device relativeto the virtual target based on the captured frames of motion data; andpresenting on the display a virtual indicator based on the eyeweardevice location.
 2. The method of claim 1, wherein the virtual targetcomprises a graduated scale, and wherein the virtual indicator comprisesa slider and a graphical icon, the method further comprising: detecting,within the captured frames of motion data, a first limit based on theeyewear device location associated with a neutral posture; detecting,within the captured frames of motion data, a second limit based on theeyewear device location associated with an active posture; calibratingthe graduated scale according to the detected first and second limitsand the display; and presenting on the display the first limit and thesecond limit relative to the calibrated graduated scale.
 3. The methodof claim 2, wherein the eyewear device further comprises at least oneinput element selected from the group consisting of a hand trackingapplication, a button switch, a touchpad, and a microphone coupled to aloudspeaker, and wherein the process of detecting the first limitfurther comprises: presenting a first message instructing a user toperform the neutral posture; and detecting a selecting action relativeto the at least one input element in association with the performedneutral posture.
 4. The method of claim 2, further comprising:presenting on the display a current rep count at an information positionrelative to the display; detecting, within the captured frames of motiondata, a repetitive motion of the eyewear device, wherein the repetitivemotion comprises detecting the eyewear device location, in sequentialorder, (a) within a second proximity of the second limit, and (b) withina first proximity of the first limit; and incrementing the current repcount by one in response to the detected repetitive motion.
 5. Themethod of claim 1, wherein the eyewear device further comprises at leastone camera, wherein the virtual target comprises a punching bag at a bagposition, and wherein the virtual indicator comprises at least one of aneutral glove or an active glove, the method further comprising:capturing frames of video data with the camera; detecting, within thecaptured frames of video data, a hand shape at a hand position relativeto the eyewear device location; detecting an intersecting posturecharacterized by the detected hand position within a proximity of thepunching bag; and in response to the detected intersecting posture,presenting the active glove near the bag position.
 6. The method ofclaim 5, wherein the punching bag comprises a neutral bag and an activebag, and wherein the process of presenting the virtual indicator furthercomprises: presenting on the display a punch animation in response tothe detected intersecting posture, wherein the punch animationcomprises, in sequential order: presenting the active glove for a punchduration near the bag position; presenting the active bag for the punchduration at a position apparently beyond the bag position relative tothe eyewear device location; presenting the neutral glove at a positionapparently closer to the eyewear device location relative to the bagposition; and presenting the neutral bag at the bag position.
 7. Themethod of claim 1, wherein the virtual target comprises a distalposition, a scoring plane at a plane position, and one or more orbsselectively presented either left or right relative to the distalposition; presenting on the display a current orb count; detecting,within the captured frames of motion data, an orb intersecting posturecharacterized by the eyewear device location within an orb proximity ofone of the one or more orbs; and in response to the detected orbintersecting posture, presenting the virtual indicator on the display,wherein the virtual indicator is a response selected from the groupconsisting of a visible change in the intersected orb, a sound playedthrough the loudspeaker, a tactile vibration of the eyewear device, andan incrementally increase in the current orb count.
 8. The method ofclaim 7, wherein the step of presenting the virtual target furthercomprises: presenting the one or more orbs in apparent motion alongeither a left virtual path or a right virtual path, selectively, fromthe distal position toward the scoring plane, and wherein the step ofdetecting the orb intersecting posture further comprises: detectingwhether the eyewear device location is within the orb proximity of atleast one of the one or more orbs and the scoring plane.
 9. The methodof claim 7, wherein each of the one or more orbs is characterized aseither good or bad, wherein the step of detecting the orb intersectingposture further comprises: detecting a good orb intersecting posture,characterized by the current eyewear location detected within theproximity at least one of the good orbs at the scoring plane; detectinga bad orb avoiding posture, characterized by the current eyewearlocation detected outside the proximity of at least one of the bad orbsat the scoring plane; incrementing the current orb count by one inresponse to either a detected good orb intersecting posture or adetected bad orb avoiding posture.
 10. The method of claim 1, whereinthe virtual target comprises one or more guidance icons, the methodcomprising: detecting, within the captured frames of motion data, atraversing motion of the eyewear device relative to a physicalenvironment; presenting on the display the one or more guidance icons atan icon position relative to the physical environment; presenting anelapsed time with a stopwatch on the display; presenting an elapseddistance on the display; presenting a current pace on the display;wherein the process of presenting the virtual indicator on the displayfurther comprises, in response to the detected traversing motion,presenting at least one additional guidance icon, and at least one ofincrementing the elapsed time, incrementing the elapsed distance, orupdating the current pace.
 11. A motion evaluation system, comprising:an eyewear device comprising an inertial measurement unit, a motionevaluation application, and a display; programming in the memory,wherein execution of the programming by the processor configures theeyewear device to perform functions, including functions to: captureframes of motion data with the inertial measurement unit; present on thedisplay a virtual target at a target position relative to the display;locate the eyewear device relative to the virtual target based on thecaptured frames of motion data; and present on the display a virtualindicator based on the eyewear device location.
 12. The motionevaluation system of claim 11, wherein the virtual target comprises agraduated scale, wherein the virtual indicator comprises a slider and agraphical icon, and wherein execution of the programming by theprocessor further configures the eyewear device to perform additionalfunctions, including functions to: detect, within the captured frames ofmotion data, a first limit based on the eyewear device locationassociated with a neutral posture; detect, within the captured frames ofmotion data, a second limit based on the eyewear device locationassociated with an active posture; calibrate the graduated scaleaccording to the detected first and second limits and the display; andpresent on the display the first limit and the second limit relative tothe calibrated graduated scale.
 13. The motion evaluation system ofclaim 12, wherein the eyewear device further comprises at least oneinput element selected from the group consisting of a hand trackingapplication, a button switch, a touchpad, and a microphone coupled to aloudspeaker, and wherein the function to present on the display thefirst limit further comprises functions to: present a first messageinstructing a user to perform the neutral posture; and detect aselecting action relative to the at least one input element inassociation with the performed neutral posture.
 14. The motionevaluation system of claim 12, wherein execution of the programming bythe processor further configures the eyewear device to performadditional functions, including functions to: present on the display acurrent rep count at an information position relative to the display;detect, within the captured frames of motion data, a repetitive motionof the eyewear device, wherein the repetitive motion comprises detectingthe eyewear device location, in sequential order, (a) within a secondproximity of the second limit, and (b) within a first proximity of thefirst limit; and increment the current rep count by one in response tothe detected repetitive motion.
 15. The motion evaluation system ofclaim 11, wherein the eyewear device further comprises at least onecamera, wherein the virtual target comprises a punching bag at a bagposition, wherein the virtual indicator comprises at least one of aneutral glove or an active glove, and wherein execution of theprogramming by the processor further configures the eyewear device toperform additional functions, including functions to: capture frames ofvideo data with the camera; detect, within the captured frames of videodata, a hand shape at a hand position relative to the eyewear devicelocation; detect an intersecting posture characterized by the detectedhand position within a proximity of the punching bag; and in response tothe detected intersecting posture, present the active glove near the bagposition.
 16. The motion evaluation system of claim 11, wherein thevirtual target comprises a distal position, a scoring plane at a planeposition, and one or more orbs selectively presented either left orright relative to the distal position, and wherein execution of theprogramming by the processor further configures the eyewear device toperform additional functions, including functions to: present the one ormore orbs in apparent motion along either a left virtual path or a rightvirtual path, selectively, from the distal position toward the scoringplane; detect, within the captured frames of motion data, an orbintersecting posture characterized by the eyewear device location withinan orb proximity of one of the one or more orbs and the scoring plane;and in response to the detected orb intersecting posture, present thevirtual indicator on the display, wherein the virtual indicator is aresponse selected from the group consisting of a visible change in theintersected orb, a sound played through the loudspeaker, a tactilevibration of the eyewear device, and an incrementally increase a currentorb count.
 17. A non-transitory computer-readable medium storing programcode which, when executed, is operative to cause an electronic processorto perform the steps of: capturing frames of motion data with theinertial measurement unit; of an eyewear device, the eyewear devicefurther comprising a camera, a microphone, a loudspeaker, a guidedfitness application, an image processing system, and a display;presenting on the display a virtual target at a target position relativeto the display, wherein the virtual target comprises a graduated scale;locating the eyewear device relative to the virtual target based on thecaptured frames of motion data; and presenting on the display a virtualindicator based on the eyewear device location, wherein the virtualindicator comprises at least one of a slider or a graphical icon. 18.The non-transitory computer-readable medium storing program code ofclaim 17, wherein the program code when executed is operative to causean electronic processor to perform the further steps of: detecting,within the captured frames of motion data, a first limit based on theeyewear device location associated with a neutral posture; detecting,within the captured frames of motion data, a second limit based on theeyewear device location associated with an active posture; calibratingthe graduated scale according to the detected first and second limitsand the display; and presenting on the display the first limit and thesecond limit relative to the calibrated graduated scale.
 19. Thenon-transitory computer-readable medium storing program code of claim17, wherein the eyewear device further comprises at least one camera,wherein the virtual target comprises a punching bag at a bag position,wherein the virtual indicator comprises at least one of a neutral gloveor an active glove, and wherein the program code when executed isoperative to cause an electronic processor to perform the further stepsof: capturing frames of video data with the camera; detecting, withinthe captured frames of video data, a hand shape at a hand positionrelative to the eyewear device location; detecting an intersectingposture characterized by the detected hand position within a proximityof the punching bag; and in response to the detected intersectingposture, presenting the active glove near the bag position.
 20. Thenon-transitory computer-readable medium storing program code of claim17, wherein the virtual target comprises a distal position, a scoringplane at a plane position, and one or more orbs selectively presentedeither left or right relative to the distal position, and wherein theprogram code when executed is operative to cause an electronic processorto perform the further steps of: presenting the one or more orbs inapparent motion along either a left virtual path or a right virtualpath, selectively, from the distal position toward the scoring plane;detecting, within the captured frames of motion data, an orbintersecting posture characterized by the eyewear device location withinan orb proximity of one of the one or more orbs and the scoring plane;and in response to the detected orb intersecting posture, presenting thevirtual indicator on the display, wherein the virtual indicator is aresponse selected from the group consisting of a visible change in theintersected orb, a sound played through the loudspeaker, a tactilevibration of the eyewear device, and an incrementally increase a currentorb count.